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Был более двух недель назад

Мужчина, 29 лет, родился 20 августа 1996

Баку, готов к переезду (Грузия, Другие регионы, Казахстан, Кипр, Сербия), готов к редким командировкам

Data Scientist / ML Engineer

Специализации:
  • Дата-сайентист
  • Программист, разработчик

Тип занятости: полная занятость

Опыт работы 6 лет 7 месяцев

Сентябрь 2023по настоящее время
2 года 8 месяцев
WAVERITY

Баку, waverity.ai/

Информационные технологии, системная интеграция, интернет... Показать еще

Data Scientist
- Developed from scratch a service that improves the accuracy of seismic trace processing by up to 93%. - Implemented a GUI that made the generation of training data for ML models 8 times faster. - Optimized and expanded a service that improves the resolution of processed seismic images, reducing processing cycle times by more than 5 hours per week. - Presented work at 2 international scientifi c conferences and workshops with 3 major oil and gas companies. Skills: - Python (Jupyter, NumPy, TensorFlow, PyTorch, SciPy, plotly); - Linux (Bash); - git.
Март 2023Сентябрь 2023
7 месяцев
Diginavis

Иннополис, diginavis.com/

Информационные технологии, системная интеграция, интернет... Показать еще

Machine Learning Engineer
- Launched 3 trading strategies that improved trading performance and profi tability for the clients. - Proposed custom solutions focused on automating parameter changes based on predefi ned thresholds rather than manual processes, resulting in a savings of 20 hours per month. - Engineered robust scheduled data processing pipelines, achieving a 95% reduction in human error rates. Skills: - Python 3.10 (jupyter, numpy, pandas, matplotlib, scipy, sklearn, catboost, dagster); - Linux (Bash); - git; - AWS; - cron.
Ноябрь 2021Март 2023
1 год 5 месяцев

Казань, www.d-l-s.ru

Информационные технологии, системная интеграция, интернет... Показать еще

Аналитик данных
- Designed a mathematical model that increased client revenue by approximately 40%. - Orchestrated the creation of a robust microservices architecture connecting complex mathematical algorithms to external service providers. This integration streamlined processes by consolidating 8 disparate systems into one cohesive solution. - Optimized computation time that increased the bandwidth of the service by approximately 50 times. Технологический стек: - Python 3.9 (jupyter, numpy, pandas, matplotlib, scipy, xlwings, sklearn, pymongo, locust); - git; - MongoDB; - MS SQL; - gRPC; - Docker; - Microsoft Azure.
Сентябрь 2020Март 2023
2 года 7 месяцев

Казань, kpfu.ru

Образовательные учреждения... Показать еще

Лаборант
- Authored a comprehensive Python framework specifi cally designed to simulate heating and cooling phenomena using molecular dynamics. Use of this framework has resulted in 7 scientifi c publications. - Implemented advanced machine learning models that predict structural properties of systems at diff erent temperatures, reducing the computational time by more than 15 times compared to classical methods. - Presented fi ndings and insights at 6 international conferences, secured publication of research in a peer-reviewed journal. Skills: - Python 3.10 (numpy, scipy, matplotlib, numba, sklearn, keras, jupyter); - git; - LaTeX.
Май 2020Октябрь 2021
1 год 6 месяцев

Казань, maxima.life/

Информационные технологии, системная интеграция, интернет... Показать еще

Data Scientist
- Upgraded 2 probabilistic process models that improved predictive accuracy and decision-making capabilities. - Developed unique tools that resulted in the collection of approximately 10,000 records per month, ensuring continuous availability of relevant input parameters essential for advancing probabilistic analyses with minimal downtime. - Authored detailed model implementation documentation that enhanced knowledge sharing among team members, leading to a 60% reduction in onboarding time for new projects. Skills: - Python 3.8 (jupyter, numpy, pandas, matplotlib, scipy, xlwings, beautifulsoup4, selenium); - git.
Октябрь 2019Июнь 2020
9 месяцев
Объединённый Институт Ядерных Исследований (ОИЯИ)

Дубна (Московская область), flnph.jinr.ru/ru/

Образовательные учреждения... Показать еще

Лаборант
- Created a Python package to calculate the crystalline electric fi eld parameters of rare earth ions in solids, accelerating research by 10 hours per week. - Streamlined the initial parameter fi tting process by automating procedures, reducing setup time from 60 to 5 minutes per experiment without compromising data quality. - Leveraged advanced mathematical techniques using Python's NumPy and SciPy frameworks to achieve computational accuracy for solid-state physics research, resulting in a 70% improvement in data reliability. Skills: - Python 3.7 (numpy, scipy, matplotlib); - git.

Навыки

Уровни владения навыками
Продвинутый уровень
Python
Git
ООП
pandas
Numpy
Английский язык
Machine Learning
Scikit-learn
Deep Learning
PyTorch
TensorFlow
Matplotlib
SciPy
Jupyter Notebook
Средний уровень
SQL
Plotly
MongoDB
Уровень не указан
Математическая статистика
Математическое моделирование
Computer Vision

Обо мне

Data Scientist with 6 years of experience and a strong background in designing, developing, and deploying scalable ML solutions in cloud environments. Proven track record of delivering commercially driven projects from inception through production. Skilled in collaborating with cross-functional teams and communicating complex technical concepts to non-technical stakeholders. Passionate about driving innovation and embedding machine learning solutions to create business value. Open to relocation and remote opportunities. GitHub: https://github.com/AlbertFarkhutdinov

Высшее образование

2018
Высшее образование

Знание языков

Русский — Родной

Английский — B2 — Средне-продвинутый

Татарский — A2 — Элементарный

Повышение квалификации, курсы

2020
Education portal "GeekBrains"
Mail.ru Group, Python developer

Гражданство, время в пути до работы

Гражданство: Россия

Разрешение на работу: Россия

Желательное время в пути до работы: Не имеет значения